01
The problem
Complex research questions can need several search paths. A single query may miss useful evidence. Search snippets may lack enough context for a strong report.
02
The approach
A planning stage divides a topic into search directions. Retrieval runs searches in parallel. An analysis stage filters and organizes the evidence before a writing stage creates a structured report with citations.
03
Challenges
More research can increase wait time. Parallel searches help manage that work. Search snippets can lack context, so the workflow includes an analysis stage before writing.
04
What I learned
The structure of the research prompt affects the result. Parallel retrieval can support broader research. Reviewing evidence before writing can help keep the report coherent.
05
Outcomes
The project explores parallel retrieval and structured report writing. It is in development. It has no verified measures for speed, citation accuracy, or production readiness.
Tech stack
- Python 3.10+
- OpenAI Agents SDK
- Serper.dev
- Pydantic
- Asyncio
- Gradio